At a Glance
- Tasks: Create and prototype cutting-edge Conversational AI features using large language models.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and problem-solving.
- Why this job: Be at the forefront of AI technology and shape how it impacts real-world applications.
- Qualifications: Experience with Python, large language models, and a passion for building user-centric systems.
The predicted salary is between 60000 - 80000 € per year.
We are building Conversational AI products powered by large language models, and we are always striving to provide the best features for our clients. This means there’s always a new problem to solve, a new solution to find, and a new way to translate LLM capabilities into real product features. We are hiring an AI Engineer to help bring these new products to life. You will sit on our LLM AI team, bridging the gap to our software engineering teams, turning model capabilities into working prototypes and clear reference implementations that can later be built into production systems. Your work will define how LLMs are actually used across our products. You will take ideas and turn them into real, testable systems that engineers can rely on.
What you will do:
- Improve the quality of conversational AI features by making them more accurate, consistent, and responsive through hands‑on prototyping.
- Work closely with the LLM team to understand how the models behave, where they perform well, and where they break, and to experiment with new features and methods.
- Build working prototypes that show how LLM‑powered features should function in real product flows.
- Design and test prompt structures, input and output formats, and interaction patterns such as retrieval‑based systems and agent‑style workflows.
- Create reference implementations, such as APIs or small services, that give engineering teams something concrete to build from.
- Turn high‑level product ideas into clear and testable systems.
- Identify edge cases, failure points, and user experience issues early through hands‑on prototyping.
- Work closely with frontend and backend engineers to ensure that what is designed can be built and scaled properly.
What we are looking for:
- Someone who enjoys turning ideas into working systems.
- Someone passionate about Conversational AI.
- Comfortable writing code and building prototypes quickly, most commonly in Python.
- Experience working with large language models in real applications.
- Understanding of how these models behave in practice, including limitations such as inconsistency, latency, and unexpected outputs.
- Ability to design systems that work around these limitations.
- Product‑minded, with the ability to think about how something works for a user, not just in isolation.
- Backgrounds that tend to fit well include data scientists who have moved into LLM or applied AI work, physics, maths, or other quantitative science backgrounds with strong coding skills (PhD or industry), machine learning engineers with product exposure, applied AI or LLM engineers, and backend engineers who have worked closely with LLM‑based features.
AI Engineer employer: ConnexAI
As an AI Engineer at our innovative company, you will be part of a dynamic team dedicated to pushing the boundaries of Conversational AI. We foster a collaborative work culture that encourages creativity and problem-solving, offering ample opportunities for professional growth and development in a cutting-edge field. Located in a vibrant tech hub, we provide a stimulating environment where your contributions directly impact product features, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio of your projects, especially those involving conversational AI or large language models. This gives potential employers a taste of what you can do and how you turn ideas into working systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills, especially in Python. Practice solving problems related to LLMs and conversational AI, as these will likely come up during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for Conversational AI shine through! We want to see how excited you are about turning ideas into working systems and how you can contribute to our mission.
Be Specific About Your Experience:Make sure to highlight any hands-on experience you've had with large language models or prototyping. We love seeing concrete examples of how you've tackled challenges in the past, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for us. Mention specific projects or experiences that align with what we’re doing at StudySmarter. This shows you’ve done your homework and are genuinely interested in joining our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people and helps us get to know you better. Plus, it’s super easy!
How to prepare for a job interview at ConnexAI
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models before the interview. Understand their strengths and weaknesses, and be ready to discuss how you've worked with them in the past. This will show that you're not just familiar with the theory but also know how to apply it in real-world scenarios.
✨Prototype Like a Pro
Since the role involves building prototypes, come prepared with examples of your previous work. Bring along any code snippets or projects that demonstrate your ability to turn ideas into functional systems quickly. This will give the interviewers a clear picture of your hands-on skills and creativity.
✨Think User-Centric
Remember, it's all about the user experience! Be ready to discuss how you approach designing systems with the end-user in mind. Share examples of how you've identified user pain points and how your solutions improved their experience. This will highlight your product-minded approach.
✨Collaborate and Communicate
This role requires working closely with both LLM and engineering teams. Prepare to talk about your experience collaborating across disciplines. Highlight any successful projects where you bridged gaps between teams, as this will demonstrate your ability to communicate effectively and work well in a team environment.
